Is this training suitable for non-technical teams?

Yes. Coding is not mandatory. The training presents process logic and workflow modeling in an accessible way. Additional technical depth can be added for technical participants.

Which platforms and tools are covered in the training?

n8n is the core platform. In addition, the course covers integration logic with APIs, webhooks, HTTP Request, email, forms, Excel/CSV, Slack, Teams, and LLM/AI services.

How is AI handled in this training?

AI is not treated merely as a content generator. It is positioned as a controlled layer for classification, summarization, prioritization, decision support, and structured output generation.

Can the program be customized for enterprise needs?

Yes. The training can be adapted with customized examples for HR, finance, procurement, customer operations, ITSM, and other vertical processes.

What do participants have by the end of the training?

Participants leave with working example workflows, applicable automation ideas, and a mini capstone flow.

Intermediate Level2 Gün

Advanced AI-Powered Automation and Productivity Training with n8n

An advanced hands-on training on building AI-enabled, secure, auditable, and enterprise-ready workflows with n8n.

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About This Course

Training Methodology

n8n-first structure with concepts tied directly to platform building blocks

Hands-on delivery with working workflow examples

Realistic AI integration where LLMs act as controlled decision and classification layers

Enterprise-ready design with approvals, security, error handling, and observability

A shared learning ground for both technical and operational teams

Fast value creation through practical automation scenarios

Who Is This For?

Operations / Process Improvement Leaders

RPA / Low-Code Specialists

Software Developers and Integration Engineers

Data / AI Teams

Product and Project Managers

Owners of vertical business processes such as HR, finance, procurement, customer operations, and ITSM

Why This Course?

It is n8n-focused; theory is explained through platform-native building blocks.

It is hands-on; participants leave with working workflow examples.

It treats AI integration realistically; LLMs are positioned not only as content generators but as controlled decision and classification layers.

It fits enterprise needs; approvals, error handling, security, and observability are covered.

It creates quick value; participants crystallize automation ideas that can be applied in their own teams within two days.

It bridges technical and operational perspectives; process logic and workflow design are taught together.

Learning Outcomes

Model a business process on n8n using workflow logic.

Use trigger, action, condition, merge, loop, wait, webhook, and schedule structures correctly.

Build integrations with APIs, email, forms, documents, and messaging systems.

Integrate LLM/AI into n8n workflows in a secure and controlled manner.

Develop structured output, classification, summarization, and decision-support scenarios.

Create human-in-the-loop approval flows.

Design error handling, retry, fallback, and exception scenarios.

Apply logging, observability, and security principles for enterprise use.

Develop at least 2–3 end-to-end automation scenarios.

Design and present a working mini capstone flow on n8n.

Requirements

Basic understanding of business processes

Familiarity with forms, email, Excel/CSV, documents, and approval flows

Basic familiarity with API / JSON / webhook concepts is an advantage

Coding is not mandatory; deeper technical depth can be added for technical participants

Course Curriculum

86 Lessons

Introduction to n8n and Enterprise Automation Logic20 Lessons

Building Workflows with Core n8n Nodes26 Lessons

Using AI / LLMs inside n8n25 Lessons

Document, Email, and Operational Productivity Scenarios15 Lessons

Instructor

Şükrü Yusuf KAYA

AI Architect | Enterprise AI & LLM Training | Stanford University | Software & Technology Consultant

Şükrü Yusuf KAYA is an internationally experienced AI Consultant and Technology Strategist leading the integration of artificial intelligence technologies into the global business landscape. With operations spanning 6 different countries, he bridges the gap between the theoretical boundaries of technology and practical business needs, overseeing end-to-end AI projects in data-critical sectors such as banking, e-commerce, retail, and logistics. Deepening his technical expertise particularly in Generative AI and Large Language Models (LLMs), KAYA ensures that organizations build architectures that shape the future rather than relying on short-term solutions. His visionary approach to transforming complex algorithms and advanced systems into tangible business value aligned with corporate growth targets has positioned him as a sought-after solution partner in the industry. Distinguished by his role as an instructor alongside his consulting and project management career, Şükrü Yusuf KAYA is driven by the motto of "Making AI accessible and applicable for everyone." Through comprehensive training programs designed for a wide spectrum of professionals—from technical teams to C-level executives—he prioritizes increasing organizational AI literacy and establishing a sustainable culture of technological transformation.

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